Search Results for author: Marina Danilevsky

Found 17 papers, 5 papers with code

Active Learning for BERT: An Empirical Study

1 code implementation EMNLP 2020 Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim

Here, we present a large-scale empirical study on active learning techniques for BERT-based classification, addressing a diverse set of AL strategies and datasets.

Active Learning Binary text classification +3

Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations

no code implementations15 Nov 2023 Ankita Gupta, Chulaka Gunasekara, Hui Wan, Jatin Ganhotra, Sachindra Joshi, Marina Danilevsky

We find that both fine-tuned and instruction-tuned models are affected by input variations, with the latter being more susceptible, particularly to dialogue-level perturbations.

How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context

no code implementations26 Aug 2023 Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky

The integration of external personalized context information into document-grounded conversational systems has significant potential business value, but has not been well-studied.

Passage Retrieval Retrieval

Semi-Structured Object Sequence Encoders

no code implementations3 Jan 2023 Rudra Murthy V, Riyaz Bhat, Chulaka Gunasekara, Siva Sankalp Patel, Hui Wan, Tejas Indulal Dhamecha, Danish Contractor, Marina Danilevsky

In this paper we explore the task of modeling semi-structured object sequences; in particular, we focus our attention on the problem of developing a structure-aware input representation for such sequences.

Object

PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation

1 code implementation12 Oct 2022 Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li

In this paper, we address key practical issues with existing evaluation scripts and propose a more strict SRL evaluation metric PriMeSRL.

Semantic Role Labeling Sentence

Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models

no code implementations29 Jan 2021 Soya Park, April Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky

Data scientists face a steep learning curve in understanding a new domain for which they want to build machine learning (ML) models.

DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding

1 code implementation CONLL 2018 Min Li, Marina Danilevsky, Sara Noeman, Yunyao Li

Phonetic similarity algorithms identify words and phrases with similar pronunciation which are used in many natural language processing tasks.

Spelling Correction

SystemT: Declarative Text Understanding for Enterprise

no code implementations NAACL 2018 Laura Chiticariu, Marina Danilevsky, Yunyao Li, Frederick Reiss, Huaiyu Zhu

The rise of enterprise applications over unstructured and semi-structured documents poses new challenges to text understanding systems across multiple dimensions.

Document Classification Entity Extraction using GAN +3

Multilingual Information Extraction with PolyglotIE

no code implementations COLING 2016 Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yonas Kbrom, Yunyao Li, Huaiyu Zhu

We present PolyglotIE, a web-based tool for developing extractors that perform Information Extraction (IE) over multilingual data.

Semantic Parsing

Pagination: It's what you say, not how long it takes to say it

no code implementations11 Apr 2014 Joshua Hailpern, Niranjan Damera Venkata, Marina Danilevsky

Results from this experiment show that one of our approaches strongly outperforms the baselines and alternatives.

Language Modelling

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