Papers with semantic modulation

2 papers
Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques (2020.lrec-1)

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Challenge: a recent study shows that human translators often resort to different non-literal translation techniques besides literal translation . however, they receive less attention in developing natural language processing (NLP) applications.
Approach: They propose to have a better semantic control of extracting paraphrases from bilingual parallel corpora.
Outcome: The proposed method can automatically recognize different non-literal translation techniques . the results confirm the hypothesis of the proposed method .
AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation (2026.acl-long)

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Challenge: Existing models rely on a single segmentation token whose hidden state implicitly encodes both semantic reasoning and spatial localization . Existing methods rely only on SEG>, which encodes semantic reasoning, limiting the model's ability to explicitly disentangle what to segment from where to segment.
Approach: They propose a method which reformulates reasoning segmentation as a structured conditional generation process over image tokens conditioned on language grounded query banks.
Outcome: The proposed model bridges token-level predictions and pixel-level supervision by decoupling spatial grounding from semantic reasoning through structured language grounded query banks.

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