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Daniel S. Weld

Allen Institute of Artificial Intelligence

55 papers hereh-index 9447.4k citations357 works total

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

author position
  • first author1
  • middle author26
  • last author28

Across the 55 of 55 papers where every author was matched, so the position is known.

fields
  • cs.CL21
  • cs.HC14
  • cs.AI11
  • cs.IR5
  • cs.DL4
affiliations
  • Allen Institute of Artificial Intelligence
  • University of Washington
Homepage
same name
  • Daniel S. Weld — 17 papers, h 8
  • Daniel S. Weld — 1 paper

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
19952024
most citedCORD-19: The COVID-19 Open Research Dataset

584 citations · 1.3k across the 49 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 1 cited

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Mandar Joshi, Eunsol Choi, Omer Levy +2

Reasoning about implied relationships (e.g., paraphrastic, common sense, encyclopedic) between pairs of words is crucial for many cross-sentence inference problems. This paper prop…

cs.CL2018

Semi-Supervised Event Extraction with Paraphrase Clusters

James Ferguson, Colin Lockard, Daniel S. Weld +1

Supervised event extraction systems are limited in their accuracy due to the lack of available training data. We present a method for self-training event extraction systems by boot…

cs.CL2018★ 77 cited

StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow

Ziyu Yao, Daniel S. Weld, Wei-Peng Chen +1

Stack Overflow (SO) has been a great source of natural language questions and their code solutions (i.e., question-code pairs), which are critical for many tasks including code ret…

cs.AI2018

The Challenge of Crafting Intelligible Intelligence

Daniel S. Weld, Gagan Bansal

Since Artificial Intelligence (AI) software uses techniques like deep lookahead search and stochastic optimization of huge neural networks to fit mammoth datasets, it often results…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.