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Daniel Matthew Cer

Google Research

17 papers hereh-index 3414.4k citations56 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author11
  • last author4

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL16
  • cs.AI1
affiliations
  • Google Research
  • University of California at Berkeley
HomepageORCID 0000-0002-4681-4371

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedSemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

596 citations · 701 across the 9 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018

Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model

Muthuraman Chidambaram, Yinfei Yang, Daniel Cer +4

A significant roadblock in multilingual neural language modeling is the lack of labeled non-English data. One potential method for overcoming this issue is learning cross-lingual t…

cs.CL2018

Effective Parallel Corpus Mining using Bilingual Sentence Embeddings

Mandy Guo, Qinlan Shen, Yinfei Yang +8

This paper presents an effective approach for parallel corpus mining using bilingual sentence embeddings. Our embedding models are trained to produce similar representations exclus…

cs.CL2018

Learning Semantic Textual Similarity from Conversations

Yinfei Yang, Steve Yuan, Daniel Cer +7

We present a novel approach to learn representations for sentence-level semantic similarity using conversational data. Our method trains an unsupervised model to predict conversati…

cs.CL2018

Universal Sentence Encoder

Daniel Cer, Yinfei Yang, Sheng-yi Kong +10

We present models for encoding sentences into embedding vectors that specifically target transfer learning to other NLP tasks. The models are efficient and result in accurate perfo…

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