The Power of the TSNLP: Lessons from a Diagnostic Evaluation of a Broad-Coverage Parser

By Elizabeth Scarlett, Stan Szpakowicz. 2000

5 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Natural Language Processing, Computational Linguistics & Semantics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ahmed Elgohary
2. Philip Resnik
3. Allyson Ettinger
4. Samuel R. Bowman
5. Yonatan Belinkov
6. Alex Warstadt
7. Ellie Pavlick
8. Hinrich Schütze

In Natural Language Processing

1. Allyson Ettinger
2. Ahmed Elgohary
3. Philip Resnik
4. Samuel R. Bowman
5. Yonatan Belinkov
6. Alex Warstadt
7. Hinrich Schütze
8. Ellie Pavlick

In Computational Linguistics & Semantics

1. Ahmed Elgohary
2. Philip Resnik
3. Allyson Ettinger

Citations in the corpus

• Probing for semantic evidence of composition by means of simple classification tasks (2016, background): “As high-lighted by Scarlett and Szpakowicz (2000) the systematic fine-grained evaluation of TSNLP enables precise pinpointing of parsers’ limitations, while ensuring broad coverage and controlled evaluation of various linguistic phenomena and syntactic structures.”