1. Enhanced Dependency
Jiajie Yu
Wentao Ding

2. Enhancements for shallow natural language understanding tasks
Null nodes for elided predicates
Propagation of conjuncts
Additional subject relations for control and raising constructions
Coreference in relative clause constructions
Modifier labels that contain the preposition or other case-marking information

3. Enhancements for shallow natural language understanding tasks
Null nodes for elided predicates
Propagation of conjuncts
Additional subject relations for control and raising constructions

4. Enhancements for shallow natural language understanding tasks
Coreference in relative clause constructions
Modifier labels that contain the preposition or other case-marking information
Partitives and light noun constructions
Partitive: [DP Det. + of + [DP Det. + NP]]
quantificational determiners

5. Some NLP papers related to Noun Phrase Interpretation published in ACL/EMNLP/NAACL

6. Some Related Papers Syntactic Parsing of Web Queries (EMNLP 16)
Xiangyan Sun; Haixun Wang; Yanghua Xiao; Zhongyuan Wang
Equation Parsing : Mapping Sentences to Grounded Equations (EMNLP 16)
Subhro Roy; Shyam Upadhyay; Dan Roth
Fine-Grained IsA Extraction via Modifier Composition (ACL 17)
Ellie Pavlick; Marius Pasca
Interpreting Noun Compounds using Paraphrases in a Neural Model. (NAACL 18)
Vered Shwartz; Chris Waterson

7. Syntactic Parsing of Web Queries
create a web query treebank by projecting dependency from clicked sentences to queries.

8. Evaluation

9. Case Study

10. EQUATION PARSING : Mapping Sentences to Grounded Equations

11. Triggers & Equation Tree Syntax

12. Evaluation

13. Fine-Grained IsA Extraction via Modifier Composition
Populating fine-grained
classes with instances
Related Work: Noun Phrase Interpretation
Compound noun phrases (“jazz musician”) communicate implicit semantic relations between modifiers and the head.
Recently, interpretations may take the form of arbitrary natural language predicates
They focus exclusively on providing good paraphrases for an input noun compound.

14. Modifiers as Functions
Let 𝑀𝐻 be a class label consisting of a head 𝐻, which assumed to be a common noun, preceded by a modifier 𝑀.
The interpretation of a common noun is the set of entities in the universe 𝑈.
Two stages
Interpreting each modifier relative to the head
Using the interpretations to identify instances of the class from text

15. Learning Modifier Interpretations
Input Is-A repository 𝑂 & Fact repository 𝐷 (spo+w)
Is-A repository: Hearst pattern
Fact repository: facts extracted from ReVerb & OLLIE
Building property profiles
Expand adjectival by WordNet
Compute cosine similarity by VSM

16. Class-Instance Identification
Member of 𝑀𝐻
Member of class 𝐶= 𝑀 1 … 𝑀 𝑘 𝐻
Weakly Supervised Reranking
logistic regression
Positive: instance in 𝑂; Negative: random extracted pairs

17. Evaluation Dataset: Wikipedia category pages
removing those in which the last word is capitalized or which contain fewer than three words
remove any titles that contain links to sub-categories. This is to favor fine-grained classes
17 instances in average
19 instances in average

18. Evaluation

19. Interpreting Noun Compounds using Paraphrases in a Neural Model

20. Model & Evaluation