Search Results for author: Ali Elkahky

Found 13 papers, 5 papers with code

STOP: A dataset for Spoken Task Oriented Semantic Parsing

1 code implementation29 Jun 2022 Paden Tomasello, Akshat Shrivastava, Daniel Lazar, Po-chun Hsu, Duc Le, Adithya Sagar, Ali Elkahky, Jade Copet, Wei-Ning Hsu, Yossi Adi, Robin Algayres, Tu Ahn Nguyen, Emmanuel Dupoux, Luke Zettlemoyer, Abdelrahman Mohamed

Furthermore, in addition to the human-recorded audio, we are releasing a TTS-generated version to benchmark the performance for low-resource domain adaptation of end-to-end SLU systems.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

textless-lib: a Library for Textless Spoken Language Processing

1 code implementation NAACL (ACL) 2022 Eugene Kharitonov, Jade Copet, Kushal Lakhotia, Tu Anh Nguyen, Paden Tomasello, Ann Lee, Ali Elkahky, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux, Yossi Adi

Textless spoken language processing research aims to extend the applicability of standard NLP toolset onto spoken language and languages with few or no textual resources.


Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing

no code implementations2 Feb 2022 Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, Ahmed Aly

We tackle this problem by introducing scenario-based semantic parsing: a variant of the original task which first requires disambiguating an utterance's "scenario" (an intent-slot template with variable leaf spans) before generating its frame, complete with ontology and utterance tokens.

Retrieval Semantic Parsing

POS Tagging for Improving Code-Switching Identification in Arabic

no code implementations WS 2019 Mohammed Attia, Younes Samih, Ali Elkahky, Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish

When speakers code-switch between their native language and a second language or language variant, they follow a syntactic pattern where words and phrases from the embedded language are inserted into the matrix language.

POS Test

Segmentation for Domain Adaptation in Arabic

no code implementations WS 2019 Mohammed Attia, Ali Elkahky

Segmentation serves as an integral part in many NLP applications including Machine Translation, Parsing, and Information Retrieval.

Domain Adaptation Information Retrieval +5

A Challenge Set and Methods for Noun-Verb Ambiguity

no code implementations EMNLP 2018 Ali Elkahky, Kellie Webster, Daniel Andor, Emily Pitler

English part-of-speech taggers regularly make egregious errors related to noun-verb ambiguity, despite having achieved 97{\%}+ accuracy on the WSJ Penn Treebank since 2002.

Speech Synthesis Text-To-Speech Synthesis +2

A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems

1 code implementation WWW 2015 Ali Elkahky, Yang song, Xiaodong He

We extend the model to jointly learn from features of items from different domains and user features by introducing a multi-view Deep Learning model.

News Recommendation Recommendation Systems

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