◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Miguel Ballesteros

Oracle

44 papers hereh-index 3410.5k citations104 works total

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

author position
  • first author7
  • middle author30
  • last author7

Across the 44 of 44 papers where every author was matched, so the position is known.

fields
  • cs.CL41
  • math-ph2
  • stat.ML1
affiliations
  • Oracle
Homepage
same name
  • Miguel Ballesteros — 6 papers, h 6
  • Miguel Ballesteros — 5 papers, h 1
  • Miguel Ballesteros — 5 papers, h 1
  • Miguel Ballesteros — 4 papers, h 3
  • Miguel Ballesteros — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedTransition-Based Dependency Parsing with Stack Long Short-Term Memory

526 citations · 1.1k across the 32 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 72 cited

Multilingual Neural Machine Translation with Task-Specific Attention

Graeme Blackwood, Miguel Ballesteros, Todd Ward

Multilingual machine translation addresses the task of translating between multiple source and target languages. We propose task-specific attention models, a simple but effective t…

cs.CL2018

Scheduled Multi-Task Learning: From Syntax to Translation

Eliyahu Kiperwasser, Miguel Ballesteros

Neural encoder-decoder models of machine translation have achieved impressive results, while learning linguistic knowledge of both the source and target languages in an implicit en…

cs.CL2018

Multimodal Emoji Prediction

Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano +1

Emojis are small images that are commonly included in social media text messages. The combination of visual and textual content in the same message builds up a modern way of commun…

cs.CL2018

Pieces of Eight: 8-bit Neural Machine Translation

Jerry Quinn, Miguel Ballesteros

Neural machine translation has achieved levels of fluency and adequacy that would have been surprising a short time ago. Output quality is extremely relevant for industry purposes,…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.