Papers with PP
Enhanced Word Representations for Bridging Anaphora Resolution (N18-2)
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| Challenge: | Existing word representations do not capture semantic similarity for bridging anaphora resolution. |
| Approach: | They propose to use word embeddings to capture semantic similarity by exploring syntactic structure of noun phrases. |
| Outcome: | The proposed model achieves 30% of accuracy for bridging anaphora resolution on ISNotes corpus. |
Persona Prompting as a Lens on LLM Social Reasoning (2026.eacl-long)
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Jing Yang, Moritz Hechtbauer, Elisabeth Khalilov, Evelyn Luise Brinkmann, Vera Schmitt, Nils Feldhus
| Challenge: | Persona prompting (PP) is increasingly used to steer large language models towards user-specific generation, but its effect on rationales remains underexplored. |
| Approach: | They examine how LLM-generated rationales vary when conditioned on different demographic personas . they use word-level rationale annotations to measure agreement with human annotations based on PP . |
| Outcome: | The proposed model improves classification on the most subjective task, but fails to align with real-world demographic counterparts. |
Probing via Prompting (2022.naacl-main)
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| Challenge: | Pre-trained language models have increased the performance of data-driven natural language processing (NLP) models on a wide variety of tasks. |
| Approach: | They propose a model-free approach to probing via prompting which formulates probing as a prompting task and combine pruning to analyze where the model stores the linguistic information in its architecture. |
| Outcome: | The proposed approach extracts information from pre-trained models while learning much less on its own. |
How Much Syntactic Supervision is “Good Enough”? (2023.findings-eacl)
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| Challenge: | RNNGs with syntactic supervision underperformed RNNs with some syntaktic supervision, whereas RNNS with mild supervision achieved the best performance comparable to the state-of-the-art GPT-2-XL. |
| Approach: | They propose a method where syntactic LMs are gradually ablated from full syntatic supervision to zero syntastic supervision by preserving NP, VP, PP, SBAR nonterminal symbols. |
| Outcome: | The proposed method underperforms the RNNGs with zero syntactic supervision, and the LMs with mild syntaktic supervision perform better than the state-of-the-art GPT-2-XL. |
GerEO: A Large-Scale Resource on the Syntactic Distribution of German Experiencer-Object Verbs (2022.lrec-1)
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| Challenge: | Psych verbs and their properties in multiple languages have ignited discussions among linguists for several decades . Psych-verbs are often considered syntactically deviant, although this has occasionally been called into question . |
| Approach: | They propose to use a large-scale database of more than 10,000 examples for 64 verbs from a newspaper corpus annotated for several syntactic and semantic features relevant for their analysis. |
| Outcome: | The proposed database contains 10,000 examples for 64 verbs from a newspaper corpus and includes syntactic construction, semantic stimulus type, and form of possible stimulus preposition. |
LLM Performance Predictors are good initializers for Architecture Search (2024.findings-acl)
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| Challenge: | Large language models (LLMs) have diverse applications, encompassing both open-ended tasks (e.g., brainstorming and chat) and closed-ended ones (eg. question answering). |
| Approach: | They construct PP prompts for Large Language Models (LLMs) that estimate the performance of specific deep neural network architectures on downstream tasks. |
| Outcome: | The proposed model achieves a SoTA mean absolute error and a slight degradation in rank correlation coefficient compared to baseline predictors in machine translation tasks. |
Speech Corpus for Korean Children with Autism Spectrum Disorder: Towards Automatic Assessment Systems (2024.lrec-main)
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| Challenge: | Despite the growing demand for digital therapeutics for children with autism spectrum disorder, there is currently no speech corpus for Korean children with ASD. |
| Approach: | They propose to use Korean children with ASD to improve pronunciation and severity evaluation by transcribed speech and language evaluation sessions to assess their articulatory and linguistic characteristics. |
| Outcome: | The proposed corpus will be 300 children with ASD and 50 typically developing (TD) children. |