<prompt> Hlalosa hore na ke hobaneng ha ho le thata ho ntša boitsebiso bo itseng.nan  <response>: Instruction in English: Explain why specific information extraction is difficult to perform. . Response in English: Specific information extraction refers to the process of automatically extracting structured data from unstructured, semi-structured or natural language text. While there have been significant advancements in natural language processing and machine learning, specific information extraction can still be challenging to perform because of several factors.First, language is inherently complex and diverse. There are different ways to express the same idea or convey the same information. The text may contain errors, colloquialism, abbreviations, or use jargon that may confuse the system. Accurately interpreting these variations can be challenging even for humans, let alone machines.Second, the context in which the information appears matters a great deal. Words can have different meanings depending on the context. For instance, the word bank can refer to a financial institution, the side of a river, or an aircraft maneuver. The system must be able to determine the meaning based on the context, which can be quite challenging.Third, information extraction may require domain knowledge. For example, extracting information from scientific or medical texts may require the system to have an understanding of the specific terminology, concepts, and relationships within that domain.Fourth, unstructured text can contain irrelevant or redundant information, and determining what is relevant and what is not may require human-like reasoning and inference capabilities not yet fully developed in existing systems.In summary, specific information extraction can be difficult to perform because language is complex, the context matters, domain knowledge may be necessary, and determining what is relevant may require human-like reasoning. Despite these challenges, great progress has been made and continues to be made in the field of information extraction. . Response in Sesotho: Tlhahisoleseding e khethehileng e bolela mokhoa oa ho ntša boitsebiso bo hlophisitsoeng ka mokhoa o ikemetseng ho tsoa mongolong o sa hlophisoang, o sa tsitsang kapa oa puo ea tlhaho. Leha ho bile le tsoelopele e kholo tsebetsong ea puo ea tlhaho le ho ithuta ka mochini, ho ntšoa ha tlhahisoleseling ho ntse ho ka ba thata ho e etsa ka lebaka la lintlha tse maloa. Ea pele, puo e rarahane ka tlhaho ebile e fapane. Ho na le mekhoa e fapaneng ea ho hlalosa mohopolo o le mong kapa ho fetisa tlhahisoleseling e tšoanang. Mongolo o ka ba le liphoso, colloquialism, khutsufatso, kapa ho sebelisa jargon e ka ferekanyang sistimi. Ho hlalosa liphapang tsena ka nepo ho ka ba thata le ho batho, re se re sa re letho ka mechini. Ea bobeli, taba e amehang haholo tabeng ea taba eo boitsebiso bo hlahang ho eona. Mantsoe a ka ba le meelelo e sa tšoaneng ho itšetlehile ka moelelo oa taba. Ka mohlala, lentsoe banka le ka bolela setsi sa lichelete, lehlakoreng la nōka, kapa tsela eo sefofane se tsamaisang thepa ka eona. Sistimi e tlameha ho tseba ho tseba moelelo o ipapisitse le moelelo oa taba, e ka bang phephetso haholo. Taba ea boraro, ho ntšoa ha tlhahisoleseling ho ka hloka tsebo ea domain. Mohlala, ho fumana lintlha ho tsoa litemaneng tsa mahlale kapa tsa bongaka ho ka hloka hore sistimi e be le kutloisiso ea mantsoe a ikhethileng, mehopolo le likamano sebakeng seo. Ea bone, sengoloa se sa hlophisoang se ka ba le tlhaiso-leseling e sa hlokahaleng kapa e sa hlokahaleng, me ho tseba hore na ke eng e bohlokoa le e sa lokelang ho ka hloka matla a ho beha mabaka a kang a motho le bokhoni ba ho nahana bo e-so holisoe ka botlalo litsebetsong tse teng. Ka bokhutsoane, ho ka ba thata ho etsa tlhahiso ea tlhahisoleseling e itseng hobane puo e rarahane, moelelo oa taba, tsebo ea sebaka sa marang-rang e ka hlokahala, me ho tseba hore na ke eng e amehang ho ka hloka monahano o kang oa motho. Ho sa tsotellehe liqholotso tsena, tsoelo-pele e kholo e entsoe me e ntse e tsoela pele ho etsoa lefapheng la ho hula boitsebiso. 