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08/16/2023
SummHelper: Collaborative Human-Computer Summarization
Current approaches for text summarization are predominantly automatic, w...
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05/24/2023
Revisiting Sentence Union Generation as a Testbed for Text Consolidation
Tasks involving text generation based on multiple input texts, such as m...
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05/24/2023
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
The integration of multi-document pre-training objectives into language ...
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04/03/2023
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design
Disagreement in natural language annotation has mostly been studied from...
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10/24/2022
Controlled Text Reduction
Producing a reduced version of a source text, as in generic or focused s...
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10/23/2022
How "Multi" is Multi-Document Summarization?
The task of multi-document summarization (MDS) aims at models that, give...
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10/23/2022
Cross-document Event Coreference Search: Task, Dataset and Modeling
The task of Cross-document Coreference Resolution has been traditionally...
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05/23/2022
QASem Parsing: Text-to-text Modeling of QA-based Semantics
Several recent works have suggested to represent semantic relations with...
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12/16/2021
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering
Long-range transformer models have achieved encouraging results on long-...
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12/16/2021
A Proposition-Level Clustering Approach for Multi-Document Summarization
Text clustering methods were traditionally incorporated into multi-docum...
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10/09/2021
Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations
NLP models that compare or consolidate information across multiple docum...
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10/03/2021
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset
Keyphrase extraction has been comprehensively researched within the sing...
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09/26/2021
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
Multi-text applications, such as multi-document summarization, are typic...
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09/23/2021
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
We introduce iFacetSum, a web application for exploring topical document...
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09/10/2021
Asking It All: Generating Contextualized Questions for any Semantic Role
Asking questions about a situation is an inherent step towards understan...
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06/08/2021
Realistic Evaluation Principles for Cross-document Coreference Resolution
We point out that common evaluation practices for cross-document corefer...
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06/05/2021
Denoising Word Embeddings by Averaging in a Shared Space
We introduce a new approach for smoothing and improving the quality of w...
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06/02/2021
Cross-document Coreference Resolution over Predicted Mentions
Coreference resolution has been mostly investigated within a single docu...
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04/18/2021
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
Determining coreference of concept mentions across multiple documents is...
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04/17/2021
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes
We explore Few-Shot Learning (FSL) for Relation Classification (RC). Foc...
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04/11/2021
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia
Cross-document event coreference resolution is a foundational task for N...
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01/29/2021
CD2CR: Co-reference Resolution Across Documents and Domains
Cross-document co-reference resolution (CDCR) is the task of identifying...
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01/02/2021
Cross-Document Language Modeling
We introduce a new pretraining approach for language models that are gea...
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10/06/2020
QADiscourse – Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines
Discourse relations describe how two propositions relate to one another,...
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10/06/2020
CoRefi: A Crowd Sourcing Suite for Coreference Annotation
Coreference annotation is an important, yet expensive and time consuming...
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09/23/2020
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling
Recent evaluation protocols for Cross-document (CD) coreference resoluti...
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09/17/2020
Evaluating Interactive Summarization: an Expansion-Based Framework
Allowing users to interact with multi-document summarizers is a promisin...
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09/01/2020
SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks
Multi-document summarization (MDS) is a challenging task, often decompos...
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04/30/2020
Paraphrasing vs Coreferring: Two Sides of the Same Coin
We study the potential synergy between two different NLP tasks, both con...
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11/08/2019
Crowdsourcing a High-Quality Gold Standard for QA-SRL
Question-answer driven Semantic Role Labeling (QA-SRL) has been proposed...
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10/21/2019
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets
Phenomenon-specific "adversarial" datasets have been recently designed t...
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09/22/2019
Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation
We follow the step-by-step approach to neural data-to-text generation we...
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09/12/2019
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System
We present ABSApp, a portable system for weakly-supervised aspect-based ...
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09/03/2019
Better Rewards Yield Better Summaries: Learning to Summarise Without References
Reinforcement Learning (RL) based document summarisation systems yield s...
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06/04/2019
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
Recognizing coreferring events and entities across multiple texts is cru...
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04/11/2019
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Conducting a manual evaluation is considered an essential part of summar...
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04/06/2019
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation
Data-to-text generation can be conceptually divided into two parts: orde...
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04/04/2019
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion
In this paper, we present a novel algorithm that combines multi-context ...
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02/27/2019
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition
Building meaningful phrase representations is challenging because phrase...
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07/26/2018
Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow
We present SetExpander, a corpus-based system for expanding a seed set o...
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05/07/2018
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations
Revealing the implicit semantic relation between the constituents of a n...
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11/16/2017
Crowdsourcing Question-Answer Meaning Representations
We introduce Question-Answer Meaning Representations (QAMRs), which repr...
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07/17/2017
A Simple Language Model based on PMI Matrix Approximations
In this study, we introduce a new approach for learning language models ...
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10/27/2016
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations
We present a submission to the CogALex 2016 shared task on the corpus-ba...
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09/05/2016
PMI Matrix Approximations with Applications to Neural Language Modeling
The negative sampling (NEG) objective function, used in word2vec, is a s...
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08/17/2016
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations
Recognizing various semantic relations between terms is beneficial for m...
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03/19/2016
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method
Detecting hypernymy relations is a key task in NLP, which is addressed i...
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03/04/2016
Getting More Out Of Syntax with PropS
Semantic NLP applications often rely on dependency trees to recognize ma...
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09/27/1998