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Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2023,9,30]]},"abstract":"<jats:p>Multilingual pre-trained language models (mPLMs) have achieved remarkable performance on zero-shot cross-lingual transfer learning. However, most mPLMs implicitly encourage cross-lingual alignment in pre-training stage, making it hard to capture accurate word alignment across languages. In this paper, we propose Word-align ADapters for Cross-lingual transfer (WAD-X) to explicitly align word representations of mPLMs via language-specific subspace. Taking a mPLM as the backbone model, WAD-X constructs subspace for each source-target language pair via adapters. The adapters use statistical alignment as the prior knowledge to guide word-level aligning in the corresponding bilingual semantic subspace. We evaluate our model across a set of target languages on three zero-shot cross-lingual transfer tasks: part-of-speech tagging (POS), dependency parsing (DP), and sentiment analysis (SA). Experimental results demonstrate that our proposed model improves zero-shot cross-lingual transfer on three benchmarks, with improvements of 2.19, 2.50, and 1.61 points in POS, DP, and SA tasks over strong baselines.<\/jats:p>","DOI":"10.1145\/3610289","type":"journal-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T12:11:19Z","timestamp":1689768679000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["WAD-X: Improving Zero-shot Cross-lingual Transfer via Adapter-based Word Alignment"],"prefix":"10.1145","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6660-8989","authenticated-orcid":false,"given":"Ahtamjan","family":"Ahmat","sequence":"first","affiliation":[{"name":"Xinjiang Technical Institute of Physics &amp; Chemistry, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and  Xinjiang Laboratory of Minority Speech and Language Information Processing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2639-3944","authenticated-orcid":false,"given":"Yating","family":"Yang","sequence":"additional","affiliation":[{"name":"Xinjiang Technical Institute of Physics &amp; Chemistry, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and Xinjiang Laboratory of Minority Speech and Language Information Processing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3082-648X","authenticated-orcid":false,"given":"Bo","family":"Ma","sequence":"additional","affiliation":[{"name":"Xinjiang Technical Institute of Physics &amp; Chemistry, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and Xinjiang Laboratory of Minority Speech and Language Information Processing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4110-3976","authenticated-orcid":false,"given":"Rui","family":"Dong","sequence":"additional","affiliation":[{"name":"Xinjiang Technical Institute of Physics &amp; Chemistry, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and Xinjiang Laboratory of Minority Speech and Language Information Processing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6327-9171","authenticated-orcid":false,"given":"Kaiwen","family":"Lu","sequence":"additional","affiliation":[{"name":"Xinjiang Technical Institute of Physics &amp; Chemistry, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and Xinjiang Laboratory of Minority Speech and Language Information Processing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6685-0858","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"Xinjiang Technical Institute of Physics &amp; Chemistry, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and Xinjiang Laboratory of Minority Speech and Language Information Processing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,9,22]]},"reference":[{"key":"e_1_3_4_2_2","first-page":"5012","volume-title":"Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th Innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018","author":"Artetxe Mikel","year":"2018","unstructured":"Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2018. 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