Year Conference Paper Summary Dataset Generating Way Super/Unsuper. Single/Multi. New Dataset? New Evaluation?
2019 ACL Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model TBC. Multi-News abstractive Supervised Multi Yes No
2019 ACL Improving Abstractive Document Summarization with Salient Information Modeling TBC. TBC. abstractive Supervised Single No No
2019 ACL Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking TBC. Amazon product review dataset extractive Unsupervised Single No No
2019 ACL Sentence Centrality Revisited for Unsupervised Summarization TBC. CNN/DM/NYT/TTNews extractive Unsupervised Single No No
2019 ACL BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization TBC. Gigaword abstractive Supervised Single No No
2019 ACL Hierarchical Transformers for Multi-Document Summarization TBC. WikiSum abstractive Supervised Multi No No
2019 ACL Abstractive text summarization based on deep learning and semantic content generalization TBC. TBC. abstractive TBC. TBC. TBC. TBC.
2019 ACL A Simple Theoretical Model of Importance for Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2019 ACL HighRES: Highlight-based Reference-less Evaluation of Summarization TBC. Xsum / Supervised Single No Yes
2019 ACL HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization TBC. CNN/DM/NYT extractive Supervised Single No No
2019 ACL Scoring Sentence Singletons and Pairs for Abstractive Summarization TBC. Xsum/DUC/CNN/DM abstractive Supervised Single&Multi No No
2019 ACL Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization TBC. DUC/TAC extractive Supervised Multi. No No
2019 ACL Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention TBC. TBC. abstractive TBC. TBC. TBC. TBC.
2019 ACL Global Optimization under Length Constraint for Neural Text Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2019 ACL Searching for Effective Neural Extractive Summarization: What Works and What’s Next TBC. CNN/NEWSROOM extractive Supervised Single No No
2019 ACL Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization TBC. TBC. abstractive Supervised Single No No
2019 ACL BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization TBC. abstractive Supervised Single Yes No
2019 ACL Multimodal Abstractive Summarization for How2 Videos TBC. How2 dataset abstractive Supervised Single No Yes
2019 ACL Simple Unsupervised Summarization by Contextual Matching TBC. TBC TBC Unsupervised TBC TBC TBC
2019 ACL Self-Supervised Learning for Contextualized Extractive Summarization TBC. CNN/DM extractive Supervised Single No No
2019 ACL TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks TBC. TalkSumm / Supervised Single Yes No
2019 ACL On the Summarization of Consumer Health Questions TBC. TBC TBC TBC TBC TBC TBC
2019 ACL Studying Summarization Evaluation Metrics in the Appropriate Scoring Range TBC. TBC TBC TBC TBC TBC Yes
2019 ACL Inducing Document Structure for Aspect-based Summarization TBC. Multi-Aspect abstractive Supervised Single Yes No
2019 NAACL A Robust Abstractive System for Cross-Lingual Summarization cross-lingual summarization: summarize then translate, and translate then summarize. NYT/DUC abstractive Supervised Single No No
2019 NAACL Abstractive Summarization of Reddit Posts with Multi-level Memory Networks construct a dataset for reddit (informal; no lead bias) Reddit TIFU abstractive Supervised Single Yes No
2019 NAACL Extractive and Compressive Neural Summarization Based on Summary State Representations Compressive summarization; formulate the problem "over-extraction of existing extractive approaches" CNN/DM/NEWSROOM compressive Supervised Single No No
2019 NAACL Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization Introduce the concept map into multi-document summarization CNN/DM/NEWSROOM Supervised Multi No No
2019 NAACL Guiding Extractive Summarization with Question-Answering Rewards "quality extractive summaries should contain informative content so that they can be used as document surrogates to answer important questions" QA as a type of auxiliary task CNN/DM extractive Supervised Single No No
2019 NAACL Keyphrase Generation: A Text Summarization Struggle Formulate keyphrase generation problem as an abstractive text summarization task, but fail … abstractive Supervised Single No No
2019 NAACL Question Answering as an Automatic Evaluation Metric for News Article Summarization regarding QA as an extrinsic evaluation (making full using of CNN/DM) CNN/DM abstractive Supervised Single No Yes
2019 NAACL Recommendations for Datasets for Source Code Summarization New research problem; new dataset. Supervised Single No No
2019 NAACL Single Document Summarization as Tree Induction "conceptualize singledocument extractive summarization as a tree induction problem" CNN/DM/NYT extractive Supervised Single No No
2019 NAACL LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization open-source toolkit CNN/DM/NEWSROOM extractive Supervised Single No No
2018 ACL A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss utilize the complementary advantages of extractive and abstractive summarization CNN/DM Supervised Single No No
2018 ACL Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks regressive decoder (pointer) for extractive summarization CNN/DM extractive Supervised Single No No
2018 ACL Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization"free generation based on the source sentence is not enough for a seq2seq model" --> template-based abstractive summarization Gigaword abstractive Supervised Single No No
2018 ACL Neural Document Summarization by Jointly Learning to Score and Select Sentences re-clarify the two stages for extractive-sum: sentence scoring and sentence selection; This paper jointly learns to score and select sentences CNN/DM extractive Supervised Single No No
2018 ACL Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression abstractive meeting speech summarization AMI and ICSI abstractive Unsupervised Multi No No
2018 ACL Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting hybrid extractive-abstractive architecture with RL CNN/DM/DUC compressive Supervised Single No No
2018 ACL Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation introduce auxiliary tasks of question generation and entailment generation for abstractive Sum. CNN/DM/DUC abstractive Supervised Single No No
2018 ACL Global Encoding for Abstractive Summarization Proposes a global gate to address the problem of repetition and semantic irrelevance. LCSTS /Gigaword abstractive Supervised Single No No
2018 ACL Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization Investigate abstractive Sum in the domain of social media LCSTS abstractive Supervised Single No No
2018 EMNLP Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation incorporate prior by AMR LDC2017T10) abstractive Supervised Single No No
2018 EMNLP Neural Latent Extractive Document Summarization "view labels of sentences in a document as binary latent variables, latent model directly maximizes the likelihood of human summaries given selected sentences" extractive Supervised Single No No
2018 EMNLP On the Abstractiveness of Neural Document Summarization"how much degree are current neural document summarizers abstractive?" --> "many systems are in fact heavily extracting text spans from input" CNN/DM abstractive Supervised Single No No
2018 EMNLP Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations summarization of online conversations suffers from the lack of training data, this paper leverage a popularity measure in social media as a distant label. Reddit extractive Supervised Single Yes No
2018 EMNLP Neural Related Work Summarization with a Joint Context-driven Attention Mechanism"related work summarization" --> topic-biased multi-document problem ACM digital library extractive Supervised Single No No
2018 EMNLP Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling "extend the basic neural encoding-decoding framework with an information selection layer for abstractive Sum" (Similar to P18) abstractive Supervised Single No No
2018 EMNLP Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization A new summarization task which does not favor extractive strategies and calls for an abstractive modeling approach Xsum abstractive Supervised Single Yes No
2018 EMNLP Improving Abstraction in Text Summarization Can be regarded as a "solution" paper to P22 by introducing a pre-trained languge model and some meansures CNN/DM abstractive Supervised Single No No
2018 EMNLP Content Selection in Deep Learning Models of Summarization Analyze architectures of existing models CNN/DM/NYT/DUC/AMI/Pubmed extractive Supervised Single No No
2018 EMNLP BanditSum: Extractive Summarization as a Contextual Bandit "perform singledocument extractive summarization without heuristically-generated extractive labels" related to P21 CNN/DM extractive Supervised Single No No
2018 EMNLP Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN Formulate the multi-modal summarization tasks and proposed the dataset. E-DailyMail abstractive Supervised Single Yes No
2018 EMNLP Closed-Book Training to Improve Summarization Encoder Memory "improve the memorization capabilities of the encoder of a pointer-generator by closed book’ decoder" CNN/DM/DUC abstractive Supervised Single No No
2018 EMNLP Improving Neural Abstractive Document Summarization with Structural Regularization Leveraging document structure (structural regularization) to alleviate long-term depedency problem in text summarization" CNN/DM abstractive Supervised Single No No
2018 EMNLP Iterative Document Representation Learning Towards Summarization with Polishing Starting with the "observation that it is often necessary for a human to read an article multiple times in order to fully understand and summarize its contents." CNN/DM/DUC extractive Supervised Single No No
2018 EMNLP Bottom-Up Abstractive Summarization combine extractive Sum with abstractive through bottom-up attention: content selector CNN/DM/NYT compressive Supervised Single No No
2018 EMNLP Controlling Length in Abstractive Summarization Using a Convolutional Neural Network “generate summaries with arbitrary desired length” CNN/DM abstractive Supervised Single No No
2018 EMNLP Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization "This paper presents an investigation into a novel adaptation method of the encoder-decoder framework from single- to multi-document summarization" DUC/TAC extractive Supervised Multi No No
2018 EMNLP MSMO: Multimodal Summarization with Multimodal Output New tasks: multimodal summarization with multimodal output CNN/DM+Image abstractive Supervised Single Yes No
2018 EMNLP Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation abstractive Supervised Single No No
2018 NAACL Entity Commonsense Representation for Neural Abstractive Summarization introduce entity information: “we propose to use entities found in the original text to infer the summary topic”; This paper also present three observations relating to "entity" from existing summarization datasests. Gigaword/CNN abstractive Supervised Single No No
2018 NAACL Deep Communicating Agents for Abstractive Summarization "representing a long document for abstractive summarization" CNN/DM/NYT abstractive Supervised Single No No
2018 NAACL Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function This paper points out the shortcoming of extractive summarization: containing redundant parts. Claiming that compressive summarization is known to be effective in overcoming this problem while present methods are too slow. This paper makes a clear summarization of compressive summarization: combinatorial optimization problem with a tree constraint. DUC2004 compressive Supervised Single No No
2018 NAACL Ranking Sentences for Extractive Summarization with Reinforcement Learning This paper argues that cross-entropy training is not optimal for extractive summarization, resulting in the redundant information in summary. we conceptualize extractive summarization as a sentence ranking task. CNN/DM extractive Supervised Single Yes No
2018 NAACL Relational Summarization for Corpus Analysis "“This work introduces a new problem, relational summarization, in which the goal is to generate a natural language summary of the relationship between two lexical items in a corpus, without reference to a knowledge base”" abstractive Supervised Single No No
2018 NAACL Which Scores to Predict in Sentence Regression for Text Summarization? This paper make a detailed comparison between ROUGE Recall and ROUGE Precision. And claim that “learning to predict ROUGE precision scores of sentences leads to better results than learning to predict ROUGE recall scores if the scores are selected with a greedy algorithm afterwards” MDS,TAC2008,TAC2009 extractive Supervised Single No No
2018 NAACL Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network To better control the process of generation, this paper proposes the Key Information Guide Network, which encodes the keywords to the key information representation, to guide the process of generation. CNN/DM abstractive Supervised Single No No
2018 NAACL A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents This paper proposes the first model for abstractive summarization of single, longer-form documents The model includes a hierarchical encoder, capturing the discourse structure of the document and a discourse-aware decoder that generates the summary arXiv/PubMed abstractive Supervised Single Yes No
2018 NAACL A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization Structured data summarization: this paper formulates the standard table summarization problem, which deals with tables conforming to a single predefined schema. WEATHERGOV abstractive Supervised Single No No
2018 NAACL Effective Crowdsourcing for a New Type of Summarization Task This proposes “targeted summarization” as an umbrella category for summarization tasks that intentionally consider only parts of the input data NA Supervised Single No No
2018 NAACL Multi-Reward Reinforced Summarization with Saliency and Entailment This paper improves the task of abstractive summarization via a reinforcement learning approach with the introduction of two novel rewards: ‘ROUGESal’ and ‘Entail’, and also demonstrate that these saliency and entailment skills allow for better generalizability and transfer. CNN/DM/DUC-2002 abstractive Supervised Single No No
2018 NAACL Objective Function Learning to Match Human Judgements for Optimization-Based Summarization "This paper proposed an approach to learn a summarylevel scoring function θ with human judgments as supervision and automatically generated data as regularization." TAC-2008/2009 extractive Supervised Single No No
2017 ACL Diversity driven attention model for query-based abstractive summarization Query based abstractive text summarization where the aim is to generate the summary of a document in the context of a query. This paper proposes a new dataset for query based abstractive summarization and evaluate encode-attend-decode models on this dataset. Debatepedia abstractive Supervised Single No No
2017 ACL Get To The Point: Summarization with Pointer-Generator Networks This paper presented a hybrid pointergenerator architecture with coverage, and showed that it reduces inaccuracies and repetition. CNN/DM abstractive Supervised Single No No
2017 ACL Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization This paper encourages the community to move away from ROUGE and instead consider AP as the main summary evaluation metric. They presented a supervised framework that learns automatic Pyramid scores and uses them for optimization-based summary extraction (multi-document summarization). TAC-2009 abstractive Supervised Multi. No Yes
2017 ACL Selective Encoding for Abstractive Sentence Summarization This paper focus on abstractive sentence summarization and claim that there is no explicit alignment relationship between the input sentence and the summary except for the extracted common words. The challenge here is not to infer the alignment, but to select the highlights while filtering out secondary information in the input. This motivate the author to propose a gating mechansim for selecting the input sentence and the summary. English Gigaword, DUC 2004 and MSR abstractive sentence summarization datasets abstractive Supervised Single No No
2017 ACL Abstractive Document Summarization with a Graph-Based Attentional Neural Model This paper studies the difficulty of the abstractive document summarization task, and address the need of finding salient content from the original document, by proposing a novel graph-based attention mechanism in a hierarchical encoder decoder framework. CNN/DM abstractive Supervised Single No No
2017 ACL Oracle Summaries of Compressive Summarization The maximum ROUGE score that can be achieved by compressive summarization is unclear. This paper proposes an ILP formulation to obtain a compressive oracle summary that maximizes the ROUGE score DUC2004 compressive Supervised Single No
2017 ACL Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization The goal of this paper is to improve semantic relevance between source texts and summaries for Chinese social media summarization by explicitly maximizing their relevance. LCSTS abstractive Supervised Single No No
2017 EMNLP Affinity-Preserving Random Walk for Multi-Document Summarization This paper formulates three goals of multi-document summarization: 1) saliency 2) diversity 3) relevancy And they propose affinity-preserving random walk for multi-document summarization. The method is a graph-based ranking method. DUC2003/2004 extractive Supervised Multi No No
2017 EMNLP Hierarchically-Attentive RNN for Album Summarization and Storytelling This work focuses on visual storytelling. Given a photo album, the model first selects the most representative (summary) photos, and then composes a natural language story for the album. Visual Storytelling Dataset abstractive Supervised Single No No
2017 EMNLP Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video This paper proposes an extractive multi-modal summarization method that can automatically generate a textual summary given a set of documents, images, audios and videos related to a specific topic. Additionally, they introduce an MMS corpus in English and Chinese. MMS extractive Supervised Single Yes No
2017 EMNLP Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization This paper proposes a cascaded neural attention based unsupervised salience estimation method for compressive multi-document summarization. The attention weights for sentences and salience values for words are both learned by data reconstruction in an unsupervised manner. DUC06/07/TAC10/11 extractive Supervised Single No No
2017 EMNLP Deep Recurrent Generative Decoder for Abstractive Text Summarization This paper reveals that people may naturally follow some inherent structures when they write the abstractive summaries. To capture this structure, the author proposes to augment current encoder-decoder framework with a deep recurrent generative. Gigawords/LCSTS/DUC-2004 abstractive Supervised Single No No
2017 EMNLP Extractive Summarization Using Multi-Task Learning with Document Classification This paper assumes that the topic of a document is beneficial to the identification of salient sentences. In practice, this paper proposed a general framework for extractive summarization using document subjects. NIKKEI/NYT extractive Supervised Single No No
2016 ACL Neural Summarization by Extracting Sentences and Words This paper develops a general encoder-decoder framework for single document summarization which can be used to extract sentences or words. Specifically, the ecoder selects output symbols from the document of interest rather than the entire vocabulary. CNN/DM/DUC extractive Supervised Single No No
2016 ACL Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2016 ACL Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2016 EMNLP News Stream Summarization using Burst Information Networks TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2016 NAACL A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2016 NAACL Automatic Summarization of Student Course Feedback TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2016 NAACL Abstractive Sentence Summarization with Attentive Recurrent Neural Networks TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2016 NAACL Non-decreasing Sub-modular Function for Comprehensible Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 ACL Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 ACL Abstractive Multi-Document Summarization via Phrase Selection and Merging TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 ACL Joint Graphical Models for Date Selection in Timeline Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 ACL Predicting Salient Updates for Disaster Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 ACL BrailleSUM: A News Summarization System for the Blind and Visually Impaired People TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 ACL Learning Summary Prior Representation for Extractive Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 ACL Unsupervised extractive summarization via coverage maximization with syntactic and semantic concepts TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 ACL Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP System Combination for Multi-document Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Phrase-based Compressive Cross-Language Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Indicative Tweet Generation: An Extractive Summarization Problem? TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP A Neural Attention Model for Abstractive Sentence Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Scientific Article Summarization Using Citation-Context and Article’s Discourse Structure TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Abstractive Multi-document Summarization with Semantic Information Extraction TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Concept-based Summarization using Integer Linear Programming: From Concept Pruning to Multiple Optimal Solutions TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Better Summarization Evaluation with Word Embeddings for ROUGE TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Krimping texts for better summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Topical Coherence for Graph-based Extractive Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Extractive Summarization by Maximizing Semantic Volume TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP LCSTS: A Large Scale Chinese Short Text Summarization Dataset TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 EMNLP Summarization Based on Embedding Distributions TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 NAACL Using Summarization to Discover Argument Facets in Online Idealogical Dialog TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 NAACL A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 NAACL Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 NAACL Movie Script Summarization as Graph-based Scene Extraction TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 NAACL Toward Abstractive Summarization Using Semantic Representations TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 NAACL Clustering Sentences with Density Peaks for Multi-document Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 NAACL Improving Update Summarization via Supervised ILP and Sentence Reranking TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2015 NAACL Enhancing Instructor-Student and Student-Student Interactions with Mobile Interfaces and Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 ACL Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 ACL Hierarchical Summarization: Scaling Up Multi-Document Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 ACL Query-Chain Focused Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 ACL Exploiting Timelines to Enhance Multi-document Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 ACL Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 ACL Detection of Topic and its Extrinsic Evaluation Through Multi-Document Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 ACL Single Document Summarization based on Nested Tree Structure TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 ACL A Bayesian Method to Incorporate Background Knowledge during Automatic Text Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 EMNLP Finding Good Enough: A Task-Based Evaluation of Query Biased Summarization for Cross-Language Information Retrieval TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 EMNLP Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 EMNLP Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 EMNLP Analyzing Stemming Approaches for Turkish Multi-Document Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 EMNLP Unsupervised Sentence Enhancement for Automatic Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 EMNLP Leveraging Effective Query Modeling Techniques for Speech Recognition and Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 EMNLP Abstractive Summarization of Product Reviews Using Discourse Structure TBC. TBC. TBC. TBC. TBC. TBC. TBC.
2014 EMNLP Dependency-based Discourse Parser for Single-Document Summarization TBC. TBC. TBC. TBC. TBC. TBC. TBC.