Search Results for author: Ruihong Huang

Found 40 papers, 9 papers with code

Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure

no code implementations ACL 2022 Bohan Zhang, Prafulla Kumar Choubey, Ruihong Huang

Document-level text simplification often deletes some sentences besides performing lexical, grammatical or structural simplification to reduce text complexity.

Text Simplification

Profiling News Discourse Structure Using Explicit Subtopic Structures Guided Critics

no code implementations Findings (EMNLP) 2021 Prafulla Kumar Choubey, Ruihong Huang

We present an actor-critic framework to induce subtopical structures in a news article for news discourse profiling.

Weakly Supervised Subevent Knowledge Acquisition

no code implementations EMNLP 2020 Wenlin Yao, Zeyu Dai, Maitreyi Ramaswamy, Bonan Min, Ruihong Huang

We first obtain the initial set of event pairs that are likely to have the subevent relation, by exploiting two observations that 1) subevents are temporally contained by the parent event, and 2) the definitions of the parent event can be used to further guide the identification of subevents.

Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition

1 code implementation NAACL 2022 Pei Chen, Haotian Xu, Cheng Zhang, Ruihong Huang

General domain Named Entity Recognition (NER) datasets like CoNLL-2003 mostly annotate coarse-grained location entities such as a country or a city.

named-entity-recognition NER

Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition

1 code implementation ACL 2021 Pei Chen, Haibo Ding, Jun Araki, Ruihong Huang

Named entity recognition (NER) is well studied for the general domain, and recent systems have achieved human-level performance for identifying common entity types.

named-entity-recognition NER

Automatic Data Acquisition for Event Coreference Resolution

1 code implementation EACL 2021 Prafulla Kumar Choubey, Ruihong Huang

We propose to leverage lexical paraphrases and high precision rules informed by news discourse structure to automatically collect coreferential and non-coreferential event pairs from unlabeled English news articles.

Coreference Resolution Event Coreference Resolution

Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management

1 code implementation4 Oct 2020 Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi

People increasingly use social media to report emergencies, seek help or share information during disasters, which makes social networks an important tool for disaster management.

Management

A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing

no code implementations IJCNLP 2019 Zeyu Dai, Ruihong Huang

We argue that external commonsense knowledge and linguistic constraints need to be incorporated into neural network models for mitigating data sparsity issues and further improving the performance of discourse parsing.

Discourse Parsing

In Plain Sight: Media Bias Through the Lens of Factual Reporting

1 code implementation IJCNLP 2019 Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, Lu Wang

The increasing prevalence of political bias in news media calls for greater public awareness of it, as well as robust methods for its detection.

Modeling Document-level Causal Structures for Event Causal Relation Identification

no code implementations NAACL 2019 Lei Gao, Prafulla Kumar Choubey, Ruihong Huang

We aim to comprehensively identify all the event causal relations in a document, both within a sentence and across sentences, which is important for reconstructing pivotal event structures.

Improving Dialogue State Tracking by Discerning the Relevant Context

no code implementations NAACL 2019 Sanuj Sharma, Prafulla Kumar Choubey, Ruihong Huang

Specifically, we use the current user utterance and the most recent system utterance to determine the relevance of a system utterance.

Dialogue State Tracking

Building Context-aware Clause Representations for Situation Entity Type Classification

1 code implementation EMNLP 2018 Zeyu Dai, Ruihong Huang

Capabilities to categorize a clause based on the type of situation entity (e. g., events, states and generic statements) the clause introduces to the discourse can benefit many NLP applications.

Classification General Classification

Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures

no code implementations ACL 2018 Prafulla Kumar Choubey, Ruihong Huang

This paper proposes a novel approach for event coreference resolution that models correlations between event coreference chains and document topical structures through an Integer Linear Programming formulation.

Coreference Resolution Event Coreference Resolution +1

Identifying the Most Dominant Event in a News Article by Mining Event Coreference Relations

no code implementations NAACL 2018 Prafulla Kumar Choubey, Kaushik Raju, Ruihong Huang

Identifying the most dominant and central event of a document, which governs and connects other foreground and background events in the document, is useful for many applications, such as text summarization, storyline generation and text segmentation.

Text Segmentation Text Summarization

Temporal Event Knowledge Acquisition via Identifying Narratives

no code implementations ACL 2018 Wenlin Yao, Ruihong Huang

Inspired by the double temporality characteristic of narrative texts, we propose a novel approach for acquiring rich temporal "before/after" event knowledge across sentences in narrative stories.

General Classification Relation Classification

Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph

no code implementations NAACL 2018 Zeyu Dai, Ruihong Huang

We argue that semantic meanings of a sentence or clause can not be interpreted independently from the rest of a paragraph, or independently from all discourse relations and the overall paragraph-level discourse structure.

General Classification Implicit Discourse Relation Classification

TAMU at KBP 2017: Event Nugget Detection and Coreference Resolution

1 code implementation6 Nov 2017 Prafulla Kumar Choubey, Ruihong Huang

Our simple system designed using minimal features achieved the micro-average F1 scores of 57. 72, 44. 27 and 42. 47 for event span detection, type identification and realis status classification tasks respectively.

Coreference Resolution Event Coreference Resolution

Using Context Events in Neural Network Models for Event Temporal Status Identification

no code implementations IJCNLP 2017 Zeyu Dai, Wenlin Yao, Ruihong Huang

Focusing on the task of identifying event temporal status, we find that events directly or indirectly governing the target event in a dependency tree are most important contexts.

Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events

no code implementations EMNLP 2017 Prafulla Kumar Choubey, Ruihong Huang

We introduce a novel iterative approach for event coreference resolution that gradually builds event clusters by exploiting inter-dependencies among event mentions within the same chain as well as across event chains.

Coreference Resolution Event Coreference Resolution

Learning Event Expressions via Bilingual Structure Projection

no code implementations COLING 2016 Fangyuan Li, Ruihong Huang, Deyi Xiong, Min Zhang

Aiming to resolve high complexities of event descriptions, previous work (Huang and Riloff, 2013) proposes multi-faceted event recognition and a bootstrapping method to automatically acquire both event facet phrases and event expressions from unannotated texts.

CaseSummarizer: A System for Automated Summarization of Legal Texts

no code implementations COLING 2016 Seth Polsley, Pooja Jhunjhunwala, Ruihong Huang

Attorneys, judges, and others in the justice system are constantly surrounded by large amounts of legal text, which can be difficult to manage across many cases.

Text Generation Text Summarization

Cannot find the paper you are looking for? You can Submit a new open access paper.