mlsanityData to 7 Oct 2026

Syntactic Search by Example

arXiv 2006.03010 ↗First posted 4 Jun 2020cs.CLcited by 20

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Abstract (arXiv)

We present a system that allows a user to search a large linguistically annotated corpus using syntactic patterns over dependency graphs. In contrast to previous attempts to this effect, we introduce a light-weight query language that does not require the user to know the details of the underlying syntactic representations, and instead to query the corpus by providing an example sentence coupled with simple markup. Search is performed at an interactive speed due to an efficient linguistic graph-indexing and retrieval engine. This allows for rapid exploration, development and refinement of syntax-based queries. We demonstrate the system using queries over two corpora: the English wikipedia, and a collection of English pubmed abstracts. A demo of the wikipedia system is available at: https://allenai.github.io/spike

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jun 2020.

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Citing papers per year: 2021: 9; 2022: 3; 2023: 4; 2024: 2; 2025: 1; 2026: 1.

20 papers.

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  1. 2021Measuring and Improving Consistency in Pretrained Language Modelscited by 361
  2. 2021Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translationcited by 62
  3. 2022Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictionscited by 57
  4. 2021CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Examplecited by 19
  5. 2021A Search Engine for Discovery of Scientific Challenges and Directionscited by 12
  6. 2021Large Scale Substitution-based Word Sense Inductioncited by 9
  7. 2022A Dataset for N-ary Relation Extraction of Drug Combinationscited by 9
  8. 2024Natural Language Processing RELIES on Linguisticscited by 9
  9. 2021GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patternscited by 6
  10. 2024Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic Phenomenacited by 5
  11. 2022From Examples to Rules: Neural Guided Rule Synthesis for Information Extractioncited by 4
  12. 2021Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practicescited by 3
8 more
  1. 2021Neural Extractive Searchcited by 2
  2. 2023The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLPcited by 2
  3. 2023Two Kinds of Recallcited by 1
  4. 2025Automatic Extraction of Clausal Embedding Based on Large-Scale English Text Datacited by 1
  5. 2021Bootstrapping Relation Extractors using Syntactic Search by Examplescited by 0
  6. 2023The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violencecited by 0
  7. 2023Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigationcited by 0
  8. 2026Blackbird Language Matrices: A Framework to Investigate the Linguistic Competence of Language Modelscited by 0