Papers with NLP-based methods
Madly Ambiguous: A Game for Learning about Structural Ambiguity and Why It’s Hard for Computers (N18-5)
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| Challenge: | the game is an open source, in-browser game aimed at teaching audiences of all ages about structural ambiguity and the difficulties it poses for natural language processing. |
| Approach: | the game is an open source, in-browser game aimed at teaching audiences of all ages about structural ambiguity and the difficulties it poses for natural language processing. |
| Outcome: | the game is an open source, in-browser game aimed at teaching audiences of all ages about structural ambiguity and the difficulties it poses for natural language processing. |
End-to-end ASR to jointly predict transcriptions and linguistic annotations (2021.naacl-main)
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| Challenge: | Existing models generate audio transcripts by sequentially producing likely graphemes, or multi-graphemic units, from which lexical items of a language can be recovered. |
| Approach: | They propose a Transformer-based sequence-to-sequence model for automatic speech recognition that can produce high-quality transcriptions and linguistic annotations. |
| Outcome: | The proposed model can produce high-quality transcriptions and linguistic annotations on Japanese and English audio datasets. |
A Survey on Patent Analysis: From NLP to Multimodal AI (2025.acl-long)
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| Challenge: | Recent advances in pretrained language models and large language models have demonstrated transformative capabilities across diverse domains. |
| Approach: | They propose a taxonomy for categorization based on tasks in the patent life cycle . they introduce a novel taxonomies for categorizing based upon tasks in patent life cycles . |
| Outcome: | The proposed method is based on tasks in the patent life cycle and provides a taxonomy for categorization based upon tasks in patent life cycles. |