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Found 15 papers, 2 papers with code
Detecting Hashtag Hijacking for Hashtag Activism
Social media has changed the way we engage in social activities.
Lightweight Models for Multimodal Sequential Data
Human language encompasses more than just text; it also conveys emotions through tone and gestures.
Minimal Evidence Group Identification for Claim Verification
Claim verification in real-world settings (e. g. against a large collection of candidate evidences retrieved from the web) typically requires identifying and aggregating a complete set of evidence pieces that collectively provide full support to the claim.
Related Work and Citation Text Generation: A Survey
To convince readers of the novelty of their research paper, authors must perform a literature review and compose a coherent story that connects and relates prior works to the current work.
A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation
In this paper, we present a high-quality benchmark named multi-source Wizard of Wikipedia (Ms. WoW) for evaluating multi-source dialogue knowledge selection and response generation.
Contextualizing Generated Citation Texts
Abstractive citation text generation is usually framed as an infilling task, where a sequence-to-sequence model is trained to generate a citation given a reference paper and the context window around the target; the generated citation should be a brief discussion of the reference paper as it relates to the citing context.
Explaining Relationships Among Research Papers
Due to the rapid pace of research publications, keeping up to date with all the latest related papers is very time-consuming, even with daily feed tools.
Cited Text Spans for Citation Text Generation
Because manual CTS annotation is extremely time- and labor-intensive, we experiment with distant labeling of candidate CTS sentences, achieving sufficiently strong performance to substitute for expensive human annotations in model training, and we propose a human-in-the-loop, keyword-based CTS retrieval approach that makes generating citation texts grounded in the full text of cited papers both promising and practical.
CORWA: A Citation-Oriented Related Work Annotation Dataset
As a first step toward a linguistically-motivated related work generation framework, we present a Citation Oriented Related Work Annotation (CORWA) dataset that labels different types of citation text fragments from different information sources.
Automatic Related Work Generation: A Meta Study
In this survey, we conduct a meta-study to compare the existing literature on related work generation from the perspectives of problem formulation, dataset collection, methodological approach, performance evaluation, and future prospects to provide the reader insight into the progress of the state-of-the-art studies, as well as and how future studies can be conducted.
Neural Network Alignment for Sentential Paraphrases
We present a monolingual alignment system for long, sentence- or clause-level alignments, and demonstrate that systems designed for word- or short phrase-based alignment are ill-suited for these longer alignments.
A Robust Abstractive System for Cross-Lingual Summarization
We present a robust neural abstractive summarization system for cross-lingual summarization.
Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora
We present an iterative annotation process for producing aligned, parallel corpora of abstractive and extractive summaries for narrative.
Towards Automatic Detection of Narrative Structure
Using this corpus, we explore the correspondence between LabovÂ’s elements of narrative structure and the implicit discourse relations of the Penn Discourse Treebank, and we construct a mapping between the elements of narrative structure and the discourse relation classes of the PDTB.
