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Holistic Intelligence for Global Good
Privilege comes with the responsibility of extending it to those who don’t have it.
I was born to tackle complex, socio-technical problems with long-term impact, in collaboration with high-performing, world-class R&D teams. My north star, as of Jun 5, 2026, is leveraging multi-disciplinary science to safeguard vulnerable populations, regardless of what language they speak. If this resonates, do not hesitate to drop me a line at /waleed.ammar@gmail/.
-- Dr. Bridger
Problems that matter
- Does AI-mediation diminish trust in human-human communication?
- How do human and machine agents co-evolve?
- A free agent.
- Stop hate crime.
- Why I work.
- [Human vs. AI] Can you put time in a bottle?
- American Gen alpha’s interpretation of Greek mythology.
- TyDi QA-WANA: A Benchmark for Information-Seeking Question Answering in Languages of West Asia and North Africa.
- Podcast interview: “Can AI help scientists solve problems?”
- Invited talk, British Columbia NLP: “Can science help us reduce inequality gaps?”
- PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs.
- AI Safety in 2023.
- How to belong without losing yourself?
- Hallucination as a competitive advantage.
- Podcast interview: “AI and its Impact on Society” (in Arabic).
- DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer.
- DeepConsensus: Gap-Aware Sequence Transformers for Sequence Correction.
- Keynote, AKBC 2019: “Taming the scientific literature: progress and challenges.”
- Quantifying Sex Bias in Clinical Studies at Scale With Automated Data Extraction.
- Extracting Evidence of Supplement-Drug Interactions from Literature (supp.ai).
- GrapAL: Querying Semantic Scholar’s Literature Graph.
- ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing.
- Structural Scaffolds for Citation Intent Classification in Scientific Publications.
- Combining Distant and Direct Supervision for Neural Relation Extraction.
- NLP Highlights, ep. 96: “Question Answering as an Annotation Format,” with Luke Zettlemoyer.
- NLP Highlights, ep. 88: “A Structural Probe for Finding Syntax in Word Representations,” with John Hewitt.
- NLP Highlights, ep. 87: “Pathologies of Neural Models Make Interpretation Difficult,” with Shi Feng.
- NLP Highlights, ep. 81: “BlackboxNLP,” with Afra Alishahi and Tal Linzen.
- NLP Highlights, ep. 80: “Leaderboards and Science,” with Siva Reddy.
- Adjunct faculty, University of Washington.
- Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context.
- Citation Count Analysis for Papers with Preprints.
- Construction of the Literature Graph in Semantic Scholar.
- A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications.
- Content-Based Citation Recommendation.
- Extracting Scientific Figures with Distantly Supervised Neural Networks.
- NLP Highlights, ep. 77: “On Writing Quality Peer Reviews,” with Noah A. Smith.
- NLP Highlights, ep. 70: “Measuring the Evolution of a Scientific Field through Citation Frames,” with David Jurgens.
- NLP Highlights, ep. 62: “Sounding Board: A User-Centric and Content-Driven Social Chatbot,” with Hao Fang.
- NLP Highlights, ep. 60: “FEVER: a large-scale dataset for Fact Extraction and VERification,” with James Thorne.
- NLP Highlights, ep. 56: “Deep contextualized word representations” (ELMo), with Matthew Peters.
- NLP Highlights, ep. 52: “Sequence-to-Sequence Learning as Beam-Search Optimization,” with Sam Wiseman.
- NLP Highlights, ep. 50: “Cardinal Virtues: Extracting Relation Cardinalities from Text,” with Paramita Mirza.
- NLP Highlights, podcast co-host with Matt Gardner.
- The AI2 system at SemEval-2017 Task 10: Semi-supervised End-to-end Entity and Relation Extraction.
- Semi-supervised Sequence Tagging with Bidirectional Language Models.
- Ontology-Aware Token Embeddings for Prepositional Phrase Attachment.
- DyNet: The Dynamic Neural Network Toolkit.
- Keynote, 6th International Workshop on Mining Scientific Publications (JCDL).
- Invited talk, Institute for Health Metrics and Evaluation, Seattle.
- NLP Highlights, ep. 36: “Attention Is All You Need,” with Ashish Vaswani and Jakob Uszkoreit.
- NLP Highlights, ep. 31: “Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling.”
- NLP Highlights, ep. 28: “Data Programming: Creating Large Training Sets, Quickly.”
- NLP Highlights, ep. 20: “A simple neural network module for relational reasoning.”
- NLP Highlights, ep. 17: “pix2code: Generating Code from a Graphical User Interface Screenshot.”
- NLP Highlights, ep. 12: “Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.”
- Allen Institute for AI — research manager.
- Many Languages, One Parser.
- Massively Multilingual Word Embeddings.
- PhD in artificial intelligence, Carnegie Mellon University.
- Unsupervised POS Induction with Word Embeddings.
- Model Selection for Type-Supervised Learning with Application to POS Tagging.
- Constraint-Based Models of Lexical Borrowing.
- Conditional Random Field Autoencoders for Unsupervised Structured Prediction.
- The CMU Submission for the Shared Task on Language Identification in Code Switched Data.
- The CMU Machine Translation Systems at WMT 2014.
- The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References.
- Transliteration by Sequence Labeling with Lattice Encoding and Reranking.
- Automatic Categorization of Privacy Policies.
- Improved Transliteration Mining Using Graph Reinforcement.
- ICE-TEA: In-Context Expansion and Translation of English Abbreviations.
- Secure Localization in Wireless Sensor Networks: A Survey.
- Automatic Scoring of Online Discussion Posts.