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08/29/2023
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
Textual style transfer is the task of transforming stylistic properties ...
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08/10/2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
We present a novel approach for structured data-to-text generation that ...
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05/29/2023
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence
We present a new fact-checking benchmark, Check-COVID, that requires sys...
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05/28/2023
Generating EDU Extracts for Plan-Guided Summary Re-Ranking
Two-step approaches, in which summary candidates are generated-then-rera...
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05/27/2023
Unsupervised Selective Rationalization with Noise Injection
A major issue with using deep learning models in sensitive applications ...
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05/23/2023
Evaluation of African American Language Bias in Natural Language Generation
We evaluate how well LLMs understand African American Language (AAL) in ...
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05/23/2023
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media
Considerable advancements have been made to tackle the misrepresentation...
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03/06/2023
Faithfulness-Aware Decoding Strategies for Abstractive Summarization
Despite significant progress in understanding and improving faithfulness...
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01/31/2023
Benchmarking Large Language Models for News Summarization
Large language models (LLMs) have shown promise for automatic summarizat...
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12/20/2022
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Given the success with in-context learning of large pre-trained language...
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11/21/2022
Legal and Political Stance Detection of SCOTUS Language
We analyze publicly available US Supreme Court documents using automated...
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11/10/2022
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing
This paper introduces the shared task of summarizing documents in severa...
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11/09/2022
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection
Summarizing novel chapters is a difficult task due to the input length a...
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10/18/2022
SafeText: A Benchmark for Exploring Physical Safety in Language Models
Understanding what constitutes safe text is an important issue in natura...
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10/17/2022
Mitigating Covertly Unsafe Text within Natural Language Systems
An increasingly prevalent problem for intelligent technologies is text s...
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09/16/2022
On the Relation between Sensitivity and Accuracy in In-context Learning
In-context learning (ICL) suffers from oversensitivity to the prompt, wh...
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05/23/2022
Seeded Hierarchical Clustering for Expert-Crafted Taxonomies
Practitioners from many disciplines (e.g., political science) use expert...
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04/13/2022
Learning to Revise References for Faithful Summarization
In many real-world scenarios with naturally occurring datasets, referenc...
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03/19/2022
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization
A common method for extractive multi-document news summarization is to r...
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11/27/2021
An analysis of document graph construction methods for AMR summarization
Meaning Representation (AMR) is a graph-based semantic representation fo...
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09/16/2021
A Bag of Tricks for Dialogue Summarization
Dialogue summarization comes with its own peculiar challenges as opposed...
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09/11/2021
Semantic Categorization of Social Knowledge for Commonsense Question Answering
Large pre-trained language models (PLMs) have led to great success on va...
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08/31/2021
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization
Despite recent progress in abstractive summarization, systems still suff...
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05/14/2021
Adversarial Learning for Zero-Shot Stance Detection on Social Media
Stance detection on social media can help to identify and understand sla...
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05/10/2021
Improving Factual Consistency of Abstractive Summarization via Question Answering
A commonly observed problem with the state-of-the art abstractive summar...
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04/16/2021
Segmenting Subtitles for Correcting ASR Segmentation Errors
Typical ASR systems segment the input audio into utterances using purely...
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03/24/2021
Supporting Clustering with Contrastive Learning
Unsupervised clustering aims at discovering the semantic categories of d...
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02/18/2021
Entity-level Factual Consistency of Abstractive Text Summarization
A key challenge for abstractive summarization is ensuring factual consis...
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01/26/2021
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
We propose a method for online news stream clustering that is a variant ...
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12/04/2020
Event Guided Denoising for Multilingual Relation Learning
General purpose relation extraction has recently seen considerable gains...
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10/19/2020
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
In this work, we focus on improving ASR output segmentation in the conte...
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10/19/2020
Incorporating Terminology Constraints in Automatic Post-Editing
Users of machine translation (MT) may want to ensure the use of specific...
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10/07/2020
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
Stance detection is an important component of understanding hidden influ...
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10/07/2020
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
We introduce WikiLingua, a large-scale, multilingual dataset for the eva...
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05/31/2020
A Unified Feature Representation for Lexical Connotations
Ideological attitudes and stance are often expressed through subtle mean...
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05/04/2020
Exploring Content Selection in Summarization of Novel Chapters
We present a new summarization task, generating summaries of novel chapt...
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04/08/2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
In this paper, we propose a neural architecture and a set of training me...
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11/08/2019
A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models
Deep neural networks (DNN) are quickly becoming the de facto standard mo...
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10/31/2019
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
Stress is a nigh-universal human experience, particularly in the online ...
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08/30/2019
Automatically Inferring Gender Associations from Language
In this paper, we pose the question: do people talk about women and men ...
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08/19/2019
Fine-grained Sentiment Analysis with Faithful Attention
While the general task of textual sentiment classification has been wide...
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05/16/2019
IMHO Fine-Tuning Improves Claim Detection
Claims are the central component of an argument. Detecting claims across...
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02/24/2019
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
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10/29/2018
Content Selection in Deep Learning Models of Summarization
We carry out experiments with deep learning models of summarization acro...
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09/27/2018
Predictive Embeddings for Hate Speech Detection on Twitter
We present a neural-network based approach to classifying online hate sp...
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09/10/2018
Detecting Gang-Involved Escalation on Social Media Using Context
Gang-involved youth in cities such as Chicago have increasingly turned t...
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07/23/2018
Multimodal Social Media Analysis for Gang Violence Prevention
Gang violence is a severe issue in major cities across the U.S. and rece...
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08/13/2017
Leveraging Sparse and Dense Feature Combinations for Sentiment Classification
Neural networks are one of the most popular approaches for many natural ...
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01/12/2017
SMARTies: Sentiment Models for Arabic Target Entities
We consider entity-level sentiment analysis in Arabic, a morphologically...
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05/12/2016