Search Results for author: Martha Palmer

Found 90 papers, 11 papers with code

Aligning Images and Text with Semantic Role Labels for Fine-Grained Cross-Modal Understanding

no code implementations LREC 2022 Abhidip Bhattacharyya, Cecilia Mauceri, Martha Palmer, Christoffer Heckman

As vision processing and natural language processing continue to advance, there is increasing interest in multimodal applications, such as image retrieval, caption generation, and human-robot interaction.

Image Retrieval Retrieval

AutoAspect: Automatic Annotation of Tense and Aspect for Uniform Meaning Representations

no code implementations EMNLP (LAW, DMR) 2021 Daniel Chen, Martha Palmer, Meagan Vigus

The annotation tool combines syntactic and semantic cues to assign aspects on a sentence-by-sentence basis, following a sequence of rules that each output a UMR aspect.

Predicate Representations and Polysemy in VerbNet Semantic Parsing

1 code implementation IWCS (ACL) 2021 James Gung, Martha Palmer

Despite recent advances in semantic role labeling propelled by pre-trained text encoders like BERT, performance lags behind when applied to predicates observed infrequently during training or to sentences in new domains.

Semantic Parsing Semantic Role Labeling

SemLink 2.0: Chasing Lexical Resources

1 code implementation IWCS (ACL) 2021 Kevin Stowe, Jenette Preciado, Kathryn Conger, Susan Windisch Brown, Ghazaleh Kazeminejad, James Gung, Martha Palmer

The SemLink resource provides mappings between a variety of lexical semantic ontologies, each with their strengths and weaknesses.

Tuning Deep Active Learning for Semantic Role Labeling

no code implementations IWCS (ACL) 2021 Skatje Myers, Martha Palmer

Active learning has been shown to reduce annotation requirements for numerous natural language processing tasks, including semantic role labeling (SRL).

Active Learning Semantic Role Labeling

RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor

1 code implementation5 Dec 2023 Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Brown, Jiawei Han, Heng Ji

In this paper, we present RESIN-EDITOR, an interactive event graph visualizer and editor designed for analyzing complex events.

CAMRA: Copilot for AMR Annotation

no code implementations18 Nov 2023 Jon Z. Cai, Shafiuddin Rehan Ahmed, Julia Bonn, Kristin Wright-Bettner, Martha Palmer, James H. Martin

In this paper, we introduce CAMRA (Copilot for AMR Annotatations), a cutting-edge web-based tool designed for constructing Abstract Meaning Representation (AMR) from natural language text.

Learning Semantic Role Labeling from Compatible Label Sequences

no code implementations24 May 2023 Tao Li, Ghazaleh Kazeminejad, Susan W. Brown, Martha Palmer, Vivek Srikumar

In this paper, we eliminate such issue with a framework that jointly models VerbNet and PropBank labels as one sequence.

Domain Generalization Semantic Role Labeling

GLEN: General-Purpose Event Detection for Thousands of Types

1 code implementation16 Mar 2023 Qiusi Zhan, Sha Li, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han

Finally, we perform error analysis and show that label noise is still the largest challenge for improving performance for this new dataset.

Event Detection Event Extraction

Dependency Dialogue Acts -- Annotation Scheme and Case Study

no code implementations25 Feb 2023 Jon Z. Cai, Brendan King, Margaret Perkoff, Shiran Dudy, Jie Cao, Marie Grace, Natalia Wojarnik, Ananya Ganesh, James H. Martin, Martha Palmer, Marilyn Walker, Jeffrey Flanigan

DDA combines and adapts features from existing dialogue annotation frameworks, and emphasizes the multi-relational response structure of dialogues in addition to the dialogue acts and rhetorical relations.

Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation

no code implementations ACL 2021 Zixuan Zhang, Nikolaus Parulian, Heng Ji, Ahmed Elsayed, Skatje Myers, Martha Palmer

In this paper, we propose a novel biomedical Information Extraction (IE) model to tackle these two challenges and extract scientific entities and events from English research papers.

Event Extraction Graph Attention

A Graphical Interface for Curating Schemas

no code implementations ACL 2021 Piyush Mishra, Akanksha Malhotra, Susan Windisch Brown, Martha Palmer, Ghazaleh Kazeminejad

Much past work has focused on extracting information like events, entities, and relations from documents.

What Would a Teacher Do? Predicting Future Talk Moves

no code implementations Findings (ACL) 2021 Ananya Ganesh, Martha Palmer, Katharina Kann

Recent advances in natural language processing (NLP) have the ability to transform how classroom learning takes place.

Question Answering

RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System

1 code implementation NAACL 2021 Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, D{\'\i}dac Sur{\'\i}s, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji

We present a new information extraction system that can automatically construct temporal event graphs from a collection of news documents from multiple sources, multiple languages (English and Spanish for our experiment), and multiple data modalities (speech, text, image and video).

coreference-resolution Event Extraction

From Spatial Relations to Spatial Configurations

no code implementations LREC 2020 Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Jon Cai, Martha Palmer, Dan Roth

To exhibit the applicability of our representation scheme, we annotate text taken from diverse datasets and show how we extend the capabilities of existing spatial representation languages with the fine-grained decomposition of semantics and blend it seamlessly with AMRs of sentences and discourse representations as a whole.

Natural Language Understanding

Spatial AMR: Expanded Spatial Annotation in the Context of a Grounded Minecraft Corpus

no code implementations LREC 2020 Julia Bonn, Martha Palmer, Zheng Cai, Kristin Wright-Bettner

This paper presents an expansion to the Abstract Meaning Representation (AMR) annotation schema that captures fine-grained semantically and pragmatically derived spatial information in grounded corpora.

The Russian PropBank

no code implementations LREC 2020 Sarah Moeller, Irina Wagner, Martha Palmer, Kathryn Conger, Skatje Myers

This paper presents a proposition bank for Russian (RuPB), a resource for semantic role labeling (SRL).

Semantic Role Labeling

Leveraging Non-Specialists for Accurate and Time Efficient AMR Annotation

no code implementations LREC 2020 Mary Martin, Cecilia Mauceri, Martha Palmer, Christoffer Heckman

Abstract Meaning Representations (AMRs), a syntax-free representation of phrase semantics are useful for capturing the meaning of a phrase and reflecting the relationship between concepts that are referred to.

Referring Expression Referring Expression Comprehension

Structured Tuning for Semantic Role Labeling

1 code implementation ACL 2020 Tao Li, Parth Anand Jawale, Martha Palmer, Vivek Srikumar

We start with a strong baseline (RoBERTa) to validate the impact of our approach, and show that our framework outperforms the baseline by learning to comply with declarative constraints.

Semantic Role Labeling

Cross-document coreference: An approach to capturing coreference without context

no code implementations WS 2019 Kristin Wright-Bettner, Martha Palmer, Guergana Savova, Piet de Groen, Timothy Miller

This paper discusses a cross-document coreference annotation schema that was developed to further automatic extraction of timelines in the clinical domain.

Linguistic Analysis Improves Neural Metaphor Detection

no code implementations CONLL 2019 Kevin Stowe, Sarah Moeller, Laura Michaelis, Martha Palmer

In the field of metaphor detection, deep learning systems are the ubiquitous and achieve strong performance on many tasks.

Explaining Simple Natural Language Inference

1 code implementation WS 2019 Aikaterini-Lida Kalouli, Annebeth Buis, Livy Real, Martha Palmer, Valeria de Paiva

The vast amount of research introducing new corpora and techniques for semi-automatically annotating corpora shows the important role that datasets play in today{'}s research, especially in the machine learning community.

Natural Language Inference

VerbNet Representations: Subevent Semantics for Transfer Verbs

no code implementations WS 2019 Susan Windisch Brown, Julia Bonn, James Gung, Annie Zaenen, James Pustejovsky, Martha Palmer

This paper announces the release of a new version of the English lexical resource VerbNet with substantially revised semantic representations designed to facilitate computer planning and reasoning based on human language.

ClearTAC: Verb Tense, Aspect, and Form Classification Using Neural Nets

no code implementations WS 2019 Skatje Myers, Martha Palmer

This paper proposes using a Bidirectional LSTM-CRF model in order to identify the tense and aspect of verbs.

General Classification

Developing and Evaluating Annotation Procedures for Twitter Data during Hazard Events

no code implementations COLING 2018 Kevin Stowe, Martha Palmer, Jennings Anderson, Marina Kogan, Leysia Palen, Kenneth M. Anderson, Rebecca Morss, Julie Demuth, Heather Lazrus

As social media grows more popular, an increasing number of people are using social media platforms to obtain and share information about approaching threats and discuss their interpretations of the threat and their protective decisions.

Decision Making

Automatically Extracting Qualia Relations for the Rich Event Ontology

no code implementations COLING 2018 Ghazaleh Kazeminejad, Claire Bonial, Susan Windisch Brown, Martha Palmer

Commonsense, real-world knowledge about the events that entities or {``}things in the world{''} are typically involved in, as well as part-whole relationships, is valuable for allowing computational systems to draw everyday inferences about the world.

Semantic Role Labeling World Knowledge

Improving Classification of Twitter Behavior During Hurricane Events

no code implementations WS 2018 Kevin Stowe, Jennings Anderson, Martha Palmer, Leysia Palen, Ken Anderson

We show that feature-based and deep learning methods provide different benefits for tweet classification, and ensemble-based methods using linguistic, temporal, and geospatial features can effectively classify user behavior.

BIG-bench Machine Learning Classification +1

Leveraging Syntactic Constructions for Metaphor Identification

no code implementations WS 2018 Kevin Stowe, Martha Palmer

Identification of metaphoric language in text is critical for generating effective semantic representations for natural language understanding.

Natural Language Understanding

SemEval-2017 Task 12: Clinical TempEval

no code implementations SEMEVAL 2017 Steven Bethard, Guergana Savova, Martha Palmer, James Pustejovsky

Clinical TempEval 2017 aimed to answer the question: how well do systems trained on annotated timelines for one medical condition (colon cancer) perform in predicting timelines on another medical condition (brain cancer)?

Domain Adaptation Temporal Information Extraction

The Rich Event Ontology

no code implementations WS 2017 Susan Brown, Claire Bonial, Leo Obrst, Martha Palmer

In this paper we describe a new lexical semantic resource, The Rich Event On-tology, which provides an independent conceptual backbone to unify existing semantic role labeling (SRL) schemas and augment them with event-to-event causal and temporal relations.

Question Answering Semantic Role Labeling

Unsupervised AMR-Dependency Parse Alignment

no code implementations EACL 2017 Wei-Te Chen, Martha Palmer

In this paper, we introduce an Abstract Meaning Representation (AMR) to Dependency Parse aligner.

AMR Parsing

Linguistic features for Hindi light verb construction identification

no code implementations COLING 2016 Ashwini Vaidya, Sumeet Agarwal, Martha Palmer

To build our system, we carry out a linguistic analysis of Hindi LVCs using Hindi Treebank annotations and propose two new features that are aimed at capturing the diversity of Hindi LVCs in the corpus.

Machine Translation Translation

A corpus of preposition supersenses in English web reviews

no code implementations8 May 2016 Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Meredith Green, Kathryn Conger, Tim O'Gorman, Martha Palmer

We present the first corpus annotated with preposition supersenses, unlexicalized categories for semantic functions that can be marked by English prepositions (Schneider et al., 2015).

A Proposition Bank of Urdu

no code implementations LREC 2016 Maaz Anwar, Riyaz Ahmad Bhat, Dipti Sharma, Ashwini Vaidya, Martha Palmer, Tafseer Ahmed Khan

The present size of this Propbank is around 180, 000 tokens which is double-propbanked by the two annotators for simple predicates.

Comprehensive and Consistent PropBank Light Verb Annotation

no code implementations LREC 2016 Claire Bonial, Martha Palmer

Recent efforts have focused on expanding the annotation coverage of PropBank from verb relations to adjective and noun relations, as well as light verb constructions (e. g., make an offer, take a bath).

PropBank: Semantics of New Predicate Types

no code implementations LREC 2014 Claire Bonial, Julia Bonn, Kathryn Conger, Jena D. Hwang, Martha Palmer

This research focuses on expanding PropBank, a corpus annotated with predicate argument structures, with new predicate types; namely, noun, adjective and complex predicates, such as Light Verb Constructions.

Machine Translation

Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech

no code implementations LREC 2014 Nianwen Xue, Ond{\v{r}}ej Bojar, Jan Haji{\v{c}}, Martha Palmer, Zde{\v{n}}ka Ure{\v{s}}ov{\'a}, Xiuhong Zhang

Abstract Meaning Representations (AMRs) are rooted, directional and labeled graphs that abstract away from morpho-syntactic idiosyncrasies such as word category (verbs and nouns), word order, and function words (determiners, some prepositions).

Machine Translation Semantic Parsing +2

Mapping CPA Patterns onto OntoNotes Senses

no code implementations LREC 2014 Octavian Popescu, Martha Palmer, Patrick Hanks

In this paper we present an alignment experiment between patterns of verb use discovered by Corpus Pattern Analysis (CPA; Hanks 2004, 2008, 2012) and verb senses in OntoNotes (ON; Hovy et al. 2006, Weischedel et al. 2011).

Machine Translation

Criteria for Identifying and Annotating Caused Motion Constructions in Corpus Data

no code implementations LREC 2014 Jena D. Hwang, Annie Zaenen, Martha Palmer

While natural language processing performance has been improved through the recognition that there is a relationship between the semantics of the verb and the syntactic context in which the verb is realized, sentences where the verb does not conform to the expected syntax-semantic patterning behavior remain problematic.

Focusing Annotation for Semantic Role Labeling

no code implementations LREC 2014 Daniel Peterson, Martha Palmer, Shumin Wu

We show that the least probable sentences provide dramatic improved system performance over the baseline, especially when only a small portion of the data is annotated.

Active Learning Domain Adaptation +3

Empty Argument Insertion in the Hindi PropBank

no code implementations LREC 2012 Ashwini Vaidya, Jinho D. Choi, Martha Palmer, Bhuvana Narasimhan

This paper examines both linguistic behavior and practical implication of empty argument insertion in the Hindi PropBank.

Semantic Role Labeling

Foundations of a Multilayer Annotation Framework for Twitter Communications During Crisis Events

no code implementations LREC 2012 William J. Corvey, Sudha Verma, Sarah Vieweg, Martha Palmer, James H. Martin

In times of mass emergency, vast amounts of data are generated via computer-mediated communication (CMC) that are difficult to manually collect and organize into a coherent picture.

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