{"total":20,"rows":[{"id":"2110.05419","title":"Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks","created":"2021-10-11","cited_by_count":21,"area":null},{"id":"2105.10861","title":"RST Parsing from Scratch","created":"2021-05-23","cited_by_count":14,"area":null},{"id":"2108.04750","title":"Headed-Span-Based Projective Dependency Parsing","created":"2021-08-10","cited_by_count":11,"area":null},{"id":"2206.09158","title":"A Double-Graph Based Framework for Frame Semantic Parsing","created":"2022-06-18","cited_by_count":10,"area":null},{"id":"2106.15760","title":"A Conditional Splitting Framework for Efficient Constituency Parsing","created":"2021-06-30","cited_by_count":7,"area":null},{"id":"2109.12814","title":"Investigating Non-local Features for Neural Constituency Parsing","created":"2021-09-27","cited_by_count":4,"area":null},{"id":"2110.10431","title":"Discontinuous Grammar as a Foreign Language","created":"2021-10-20","cited_by_count":4,"area":null},{"id":"2210.12309","title":"Learning a Grammar Inducer from Massive Uncurated Instructional Videos","created":"2022-10-22","cited_by_count":3,"area":null},{"id":"2305.02386","title":"Approximating CKY with Transformers","created":"2023-05-03","cited_by_count":3,"area":null},{"id":"2308.04645","title":"Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach","created":"2023-08-09","cited_by_count":2,"area":null},{"id":"2310.19462","title":"Constituency Parsing using LLMs","created":"2023-10-30","cited_by_count":2,"area":null},{"id":"2102.04065","title":"In-Order Chart-Based Constituent Parsing","created":"2021-02-08","cited_by_count":1,"area":null},{"id":"2104.07217","title":"Neural Sequence Segmentation as Determining the Leftmost Segments","created":"2021-04-15","cited_by_count":1,"area":null},{"id":"2106.06689","title":"Neural Combinatory Constituency Parsing","created":"2021-06-12","cited_by_count":1,"area":null},{"id":"2203.10315","title":"Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging","created":"2022-03-19","cited_by_count":1,"area":null},{"id":"2212.08458","title":"Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing","created":"2022-12-16","cited_by_count":1,"area":null},{"id":"2402.13433","title":"Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing","created":"2024-02-21","cited_by_count":1,"area":null},{"id":"2211.00421","title":"Order-sensitive Neural Constituency Parsing","created":"2022-11-01","cited_by_count":0,"area":null},{"id":"2601.07008","title":"Lexicalized Constituency Parsing for Middle Dutch: Low-resource Training and Cross-Domain Generalization","created":"2026-01-11","cited_by_count":0,"area":null},{"id":"2605.13373","title":"Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing","created":"2026-05-13","cited_by_count":0,"area":null}],"next_cursor":null}