Search Results for author: Elizabeth Boschee

Found 12 papers, 3 papers with code

Keynote Abstract: Events on a Global Scale: Towards Language-Agnostic Event Extraction

no code implementations ACL (CASE) 2021 Elizabeth Boschee

I will compare them with approaches based on machine translation (as well as with models trained using in-language training data, where available), and discuss their strengths and weaknesses in different contexts, including the amount of English/foreign bitext available and the nature of the target event ontology.

Event Extraction Machine Translation +1

Language Model Priming for Cross-Lingual Event Extraction

no code implementations25 Sep 2021 Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee

We show that by enabling the language model to better compensate for the deficits of sparse and noisy training data, our approach improves both trigger and argument detection and classification significantly over the state of the art in a zero-shot cross-lingual setting.

Event Extraction Language Modelling

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction

no code implementations10 Sep 2021 Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren

Deep neural models for low-resource named entity recognition (NER) have shown impressive results by leveraging distant super-vision or other meta-level information (e. g. explanation).

Low Resource Named Entity Recognition Named Entity Recognition +1

DEGREE: A Data-Efficient Generation-Based Event Extraction Model

1 code implementation29 Aug 2021 I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng

Given a passage and a manually designed prompt, DEGREE learns to summarize the events mentioned in the passage into a natural sentence that follows a predefined pattern.

Event Extraction Structured Prediction +1

Teaching Machine Comprehension with Compositional Explanations

2 code implementations Findings of the Association for Computational Linguistics 2020 Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren

Advances in machine reading comprehension (MRC) rely heavily on the collection of large scale human-annotated examples in the form of (question, paragraph, answer) triples.

Data Augmentation Machine Reading Comprehension

SEARCHER: Shared Embedding Architecture for Effective Retrieval

no code implementations LREC 2020 Joel Barry, Elizabeth Boschee, Marjorie Freedman, Scott Miller

We describe an approach to cross lingual information retrieval that does not rely on explicit translation of either document or query terms.

Information Retrieval Translation

SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage

no code implementations ACL 2019 Elizabeth Boschee, Joel Barry, Jayadev Billa, Marjorie Freedman, Thamme Gowda, Constantine Lignos, Chester Palen-Michel, Michael Pust, Banriskhem Kayang Khonglah, Srikanth Madikeri, Jonathan May, Scott Miller

In this paper we present an end-to-end cross-lingual information retrieval (CLIR) and summarization system for low-resource languages that 1) enables English speakers to search foreign language repositories of text and audio using English queries, 2) summarizes the retrieved documents in English with respect to a particular information need, and 3) provides complete transcriptions and translations as needed.

Information Retrieval Machine Translation +1

Learning to Translate for Multilingual Question Answering

no code implementations EMNLP 2016 Ferhan Ture, Elizabeth Boschee

In multilingual question answering, either the question needs to be translated into the document language, or vice versa.

Question Answering Translation

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